Workshop measurements and modelling of PM 2.5. in Europe Overview and Proceedings

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Workshop measurements and modelling of PM 2.5 in Europe Overview and Proceedings This is a publication of the Netherlands Research Program on Particulate Matter

BOP report Workshop measurements and modelling of PM 2.5 in Europe Overview and Proceedings Jan Matthijsen, PBL; Peter Builtjes, TNO

Workshop measurements and modelling of PM 2.5 in Europe Overview and proceedings This is a publication of the Netherlands Research Program on Particulate Matter Report 500099017 Jan Matthijsen, Peter Builtjes Contact: karin.vandoremalen@pbl.nl ISSN: 1875-2322 (print) ISSN: 1875-2314 (on line) This is a publication in the series: BOP reports Project assistant: Karin van Doremalen English editing: Annemieke Righart Figure editing: PBL editing and production team Layout and design: RIVM editing and production team Cover design: Ed Buijsman (photographer: Sandsun) ECN Energy research Centre of the Netherlands PBL Netherlands Environmental Assessment Agency TNO Built Environment and Geosciences RIVM National Institute for Public Health and the Environment This study has been conducted under the auspices of the Netherlands Research Program on Particulate Matter (BOP), a national program on PM10 and PM2.5 funded by the Dutch Ministry of Housing, Spatial Planning and the Environment (VROM). Parts of this publication may be reproduced provided that reference is made to the source. A comprehensive reference to the report reads as Matthijsen, J. Builtjes, P., (2010) Workshop measurements and modelling of PM2.5 in Europe overview and proceedings The complete publication, can be downloaded from the website www.pbl.nl Netherlands Environmental Assessment Agency, (PBL) PO BOX 303, 3720 AH Bilthoven, The Netherlands; Tel: +31-30-274 274 5; Fax: +31-30-274 4479; www.pbl.nl/en

Workshop measurements and modelling of PM 2.5 in Europe Summary In 2008, the European Directive on air quality went into force (2008/50/EC). The new directive combined four existing EU directives, and established air quality standards for fine particulate matter (PM 2.5 ). The knowledge on particulate matter, specifically on PM 10, has increased greatly, both in the scientific and the applied sense. The PM dossier still carries many uncertainties and, generally, only little experience has been gained in the measuring and modelling of PM 2.5 in aid of policy support. During the workshop different aspects of PM 2.5 have been addressed in thirteen presentations. Countries have started to include measurements of PM 2.5 and its components in their national air quality monitoring networks. Harmonisation of the national air quality networks is on its way but takes a considerable amount of effort. As a consequence it is difficult to make a consistent view of PM 2.5 Europe wide. Measurement artefacts due to semivolatility of some particulate matter components also limit consistency between model results, emission inventories and measurements. Policy assessments which aim at finding adequate conditions for compliance to the PM 2.5 standards are therefore still very uncertain. In addition there is growing evidence that, like PM 10, also PM 2.5 is a rather crude indicator for the health effects associated to particulate matter. Combustion emission sources like traffic appear to have a larger health impact than others. So it is necessary to design smart policies which aim at the health improvement and take at the same time the current uncertainties into account about the efficiency of the current PM 2.5 air quality standards for health improvement. Other, additional, PM indicators may be helpful to plan such policies. Introduction The aim of this workshop was to discuss with a number of European experts the current state of knowledge concerning all aspects of PM 2.5. This means observations, emissions, modelling, source apportionment and health effects. In view of the European air quality standards for PM 2.5, it is essential to exchange information, and to try to come to a coherent assessment with respect to PM 2.5. An important example is the introduction of the average exposure index, which is an indicator for the average urban background concentration in a country. This indicator is new and countries have so far little experience in dealing with it and consequently many questions arise on how to measure and manage reductions which are necessary to meet the standards for the average exposure indicator. Also the other gaps in knowledge were discussed, hopefully leading to a common research agenda, and funded projects. The workshop was attended by about 40 participants, from 9 European countries. In the following paragraphs an overview of the presented papers is given, and some conclusions are drawn. The workshop programme, abstracts of the different presentations, a list of participants and the most important hyperlinks used or presented in the workshop are given in annexes. PM 2.5 in the European Directive for Air Quality For the improvement of air quality in Europe the following article from the 6 th Environmental Action Plan is presented as a leading term: achieving levels of air quality that do not give rise to significant negative impacts on and risks to human health and the environment. The European Air Quality directive includes five objectives for PM 2.5 : Target and limit value of 25 μg/m 3 for average annual PM 2.5 concentrations to apply everywhere. It is a target value by 2010 and a limit value by 2015. An indicative limit value of 20 μg/m 3 has been set for 2020 and is to be confirmed at the review of the Directive in 2013. The other two objectives aim at limiting and reducing exposure to PM 2.5 in urban areas, based on the so-called national average exposure indicator (AEI): the Exposure Concentration Obligation of 20 μg/m 3 by 2015 and the Exposure Reduction Target to reduce national average measured urban background concentration with a value between 0 and 20% between 2010 and 2020. The national value of the exposure reduction target depends on the AEI in 2010. The exposure reduction target is subject to the review. The AEI is the 3 years moving average annual PM 2.5 concentration at urban background sites. The AEI is one number per Member State as it is an average across cities. The Directive gives guidelines on how many urban background stations a Member State should have to calculate the AEI. Workshop measurements and modelling of PM2.5 in Europe 5

In 2013 the European Commission will review the Air Quality Directive 2008/50/EC. This review includes with regard to PM 2.5 the following aspects: Legally binding exposure reduction target, review exposure concentration obligation More ambitious limit value Confirm/modify indicative limit value which is currently 20 µg/m 3 Monitoring Observations Observations are essential to the assessment concerning the current situation of PM 2.5. Throughout Europe, the knowledge on current PM 2.5 concentration levels is still rather limited. Many Member States have only recently started to include PM 2.5 measurements in their national air quality monitoring networks. Routine measurements of PM 2.5 using automated samplers are thought to be more uncertain than measurements of PM 10 because the semi-volatile PM fraction, which is a main source of measurement uncertainty, resides predominantly in the fine fraction. Consequently, the climatology of PM 2.5 throughout Europe is not yet well understood. Several presentations gave an overview of local efforts to measure PM 2.5 and its components. The Joint Research Centre (JRC) showed results of a measurement campaign to support harmonisation with regard to observations of particulate matter performed according to the EU guidelines. Urban background stations measuring PM2.5 are required with respect to the EU- Air Quality Directive starting from 1 January 2009. Per 1 million inhabitants a minimum of one urban background station is required summed over agglomerations and additional urban areas in excess of 100.000 inhabitants. In rural areas the chemical speciation of PM 2.5 should be measured to support modelling and source attribution. The stations should be in operation now, and the observations will have to be reported by the beginning of 2010. Between 2006 and 2009 JRC and the AQUILA network carried out a number of investigations and measuring campaigns of parallel measurements of PM 10, PM 2.5 and PM 1. AQUILA is a formally established network - open to all of the National Reference Laboratories across Europe that verifies and supports the correct implementation of air quality directives in Europe. The parallel measurements show that correlation with JRC PM data is in general high, but differences of the averages up to 30-50 % are found. Comparison between JRC data and those of national reference laboratories is good for gravimetric methods, but appear problematic at very high or very low concentrations. It appears from the parallel measurements that yearly averaged concentrations of PM 2.5 have an average uncertainty of about 25 % (2-sigma). Day-to-day differences can easily attain about 50 %. European regulations allow a maximum uncertainty of 25% (2-sigma) in the averaged annual measured data. However, possible values for the national exposure reduction target will be 20% or less. Since the allowed uncertainty in the measurements is larger than the exposure reduction target it appears that a reduction of this magnitude will not be easily measurable. The significance of the average exposure indicator reduction, based on reference measurements, is a topic currently being addressed by AQUILA. Observations of averaged annual PM 2.5 concentrations in the Netherlands were obtained for 2008 by using the reference method. Imputation techniques were successfully applied to reduce the uncertainty in the average annual data due to limited data coverage. The rural-to-urban gradient and the urban-to-street gradient were both about 1 µg/m 3. At 9 rural background stations the averaged annual concentration was 16 µg/m 3 with a standard deviation of 2 µg/m 3. At 9 urban stations the averaged annual concentration was 17 µg/m 3 (stdev. 2 µg/m 3 ). At 9 traffic stations the averaged annual concentration was 18 µg/m 3 (stdev. 1 µg/m 3 ). In the United Kingdom (UK) averaged annual PM 2.5 concentrations were measured in 2007/2008 and varied between 10 µg/m 3 at rural background locations and about 12 µg/m 3 at urban locations. To establish the spatial differentiation of PM 2.5 concentrations in the UK PM 2.5 maps for 2005, 2006 and 2007 were made by combining model results and measurements. From these maps average annual PM 2.5 concentrations were calculated to be usually well below 15 µg/m 3, also in most urban areas. However, during years with unfavourable meteorological circumstantces, like 2006, averaged annual PM 2.5 concentrations were on average several up to about 5 µg/m 3 higher. Consequently in some urban areas average annual PM 2.5 concentrations might have exceeded 20 µg/m 3. The three-site study for a rural, urban traffic site in Birmingham showed a gradient from roadside to urban background to rural sites, most particularly in the content of elemental carbon (EC), organic carbon (OC) and iron. Secondary OC is important and shows similarities in seasonal behaviour to nitrate. For PM 10 similarly a gradient was found of mean roadside to urban background and from urban background to rural concentrations. Gradients for PM 2.5 were found with roadside greater than urban background greater than rural in one study and urban background greater than rural in another. The gradients were, however, small compared to those of components like elemental carbon. Data for all seasons from the central urban background site show notably higher sulphate in summer and lower nitrate in summer. Measurements of the chemical speciation of PM 2.5 show the contributions of sulphate, nitrate, ammonium, carbonaceous aerosol, both EC and organic matter. Organic carbon in PM is present in many individual carbonaceous compounds, which not only contain carbon but also other elements, such as oxygen and hydrogen. These elements are usually not measured, but they do contribute to the mass. The additional mass of these elements can be accounted for by translating carbon into organic matter (OM) or also called Total Carbonaceous Mass (TCM). OM or TCM are derived from the total carbon mass (OC), usually by application of a multiplication factor (typically 1.3-1.4). First results have been obtained to discriminate recent and fossil carbon by the C-14 method, and separated in EC and OM. Further information 6 Workshop measurements and modelling of PM2.5 in Europe

to distinguish several primary sources and secondary organic aerosol can be obtained by using the Aerodyne Aerosol Mass spectrometer (AMS). The AMS is a fast aerosol mass measurement for non refractory fine particulate matter in the size range of 40 nm to about 1 µm. The MARGA-sampler, based on continuous wet denuders and steam jet aerosol collectors to measure the chemical composition of PM 2.5, and PM 10, has been used in combination with the AMS during the EMEP Intensive measurements periods of June 2006, January 2007, October and November 2008 and February and March 2009. Both MARGA and AMS provide a good measure of ambient concentrations of volatile species like ammonium nitrate. Low volume or high volume samplers LVS/HVS - were found not to be suited for measurement of particulate nitrate due to measurement artefacts. Application of a denuder, which removes gaseous components from the sampled air, can reduce measurement artefacts. The reference method for PM 10 (EN12341;1998) and for PM 2.5 (EN14907;2005) use either LVS or HVS. As a consequence, the contribution of particulate nitrate to the PM 10 and PM 2.5 concentration, when measured according to the reference method, may be substantially different from ambient particulate nitrate concentrations. This constitutes a problem in measurement / model intercomparisons. Measurement providers should be involved to consider what exactly the different instruments measure and how this might relate to the modeled compounds. Also for an adequate assessment of reduction measures it is necessary that models, used for this purpose, can take measurement artefacts into account. Observations at Melpitz over a six year period 2003-2008 showed, next to detailed speciation measurements of PM 2.5, that the ratio PM 2.5 /PM 10 varies between winter values of about 0.8 to summer values of about 0.65, and are also a function of wind direction, which means source areas. The Melpitz measurement site is a rural background station in the Eastern part of Germany. The average three year mean PM 2.5 concentration from 2006 to 2008 was 17.6 μg/m 3. The highest PM mass concentrations with high amounts of sulphate, nitrate and carbon were observed during air mass transport in winter from the East. In general over Europe there is no significant trend over the last 5 years in the observed PM 10 concentrations, nor in the observed PM 2.5 concentrations. The number of the PM 2.5 observations and the length of the PM 2.5 time series are still limited. Emissions Emissions play a crucial role in understanding ambient PM 2.5 observations. The emissions are input for predictive models and the information on source-specific contributions can be translated in emission reduction strategies aiming to reduce the ambient concentrations. Emission data are available for primary emitted PM 2.5 and for the precursor emissions of SO 2, NO x, NH 3 and NMVOC. Estimates are available concerning the percentage of EC, OM and dust in the primary emissions of PM 2.5. A European wide emission data base for all these pollutants exists for the year 2005, on horizontal grids of 0.125 x 0.0625 latitude - longitude (ca. 6x6 km 2 ), divided in area, line and point sources. For a number of countries, more refined emission information is available, for example in Germany on 1 min x 1 min (ca. 1,2 x 1.8 km 2 ). Furthermore, as in the case of Germany, additional high resolution emission height information may be available for the national emission data base. The 2005 emission database is consistent with national particulate matter inventories. About half of the total European primary PM 2.5 emissions are carbonaceous aerosols (EC and OC). Diesel use in transport and fuel wood by households are dominant sources, responsible for about 60% of both EC and OC in PM 2.5. The high resolution inventories serve as input for atmospheric modellers. Comparison of measured with modelled concentrations help to verify the emission data bases and may lead to further improvements of these. This approach generates many ideas about further improvements, but it is difficult to put these ideas into funded work when they are not directly linked to reporting requirements or limit values. Emissions of primary PM 2.5, and its speciation, are still rather uncertain, although in the long term they are believed to become more accurate than those of primary PM 10 because PM 2.5 emissions are relatively more dominated by combustion processes. There are several aspects with regard to the emission uncertainties. For instance, primary emissions of PM 2.5 are still often derived as a fraction of primary PM 10 emissions. In addition, accidental releases from regulated sources become more important for air quality, whereas these usually large emissions during a few hours or days do not appear in the official emission reports. Modelling and source apportionment Modelling with 3-D Chemical Transport Models has become a powerful tool, enabling to provide air pollutant concentrations fields and the determination of the contributing emission sources and the impact of future emission reductions strategies. Several model intercomparison studies and evaluation studies have shown good and acceptable results for species like O 3 and NO 2, but less good performance for PM 10 and PM 2.5. In general, an underestimation is found, showing lower calculated concentrations than observations. The differences in calculated PM 2.5 concentrations by different models are smaller than ±25%. Apart from not well described or even missing emissions like re-suspension by traffic, windblown dust and organic material, large uncertainties are related to the seasonal dependence of ammonia emissions and the formation of ammonium nitrate. Although the calculated inorganic fraction is in a reasonable agreement with observations, the calculated fine and coarse nitrate differs from the observed ratio. Air quality models are currently being extended to be able to assess possible effects of climate change. Not only plays particulate matter an important role in affecting climate but also climatic changes can have considerable effects on air quality. Some sensitivity tests were presented, showing effects of increased temperatures on soil emissions and air quality concentrations. Workshop measurements and modelling of PM2.5 in Europe 7

Contribution of elemental carbon (EC) and organic carbon (OC) to PM 2.5 in the Netherlands is several tens of percentage points. Also in other European member states EC and OC constitute an important part of the mass of PM 2.5. Traffic and residential combustion are the important sources of these carbonaceous aerosols. Source apportionment is used to analyse, from the observed speciation and knowing the speciation of the emissions and information concerning specific tracers (like Copper and Barium for break ware), the specific emission sources which cause the observed concentrations. Positive Matrix Factorisation PMF - can be used to distinguish the type of organic aerosols from AMS organic aerosol mass spectra. It is also applied to determine the origin of inorganic PM components. PMF is a commonly used statistical technique for source apportionment based on PM component measurements. Using these techniques, in Zurich, six different sources of organic carbon were identified. The contribution of organic aerosol due to wood burning was with 20% to PM 1 much higher than expected. Secondary organic aerosol (SOA) is often dominating the organic fraction and is not only high in summer but also high in winter. The different sources of SOA cannot yet be distinguished. In the United Kingdom measurements show that major PM 2.5 components are sulphates, nitrates and carbonaceous material. Nitrate is especially important in episodes of high PM 10. This behaviour has been observed in many other countries especially in NW Europe. Road traffic is normally the main contributor to primary carbonaceous particles, but the gasoline/diesel split is hard to determine from a chemical mass balance (CMB) model. The contribution of non-exhaust particles from traffic may also be significant and may also contain health relevant components. Health effects Epidemiological studies have provided evidence for an association between PM 2.5 and adverse health effects, albeit that there is far less information available compared to PM 10. However, it is not known yet which constituents or sources of emissions can be held responsible for the health effects. There is growing evidence that certain emission sources like traffic and other combustion processes have a larger health impact than other emissions such as inorganic aerosol. The epidemiological evidence is expressed as shortening of life expectancy or impaired lung development and/or lung function of otherwise healthy people living near a busy road. Toxicological evidence shows that relative high levels of particulate air pollution can result in oxidative stress, inflammation of the lung, worsening of lung diseases and cardiovascular disorders and impairments. The toxicity may not only be caused by the particles themselves, but can also be caused by chemicals on the surface of particles and gases as well as influence by size. Particles of different sizes can cause different type of health effects. Although the acute effects of particulate matter on health do not appear to be very large, its overall effect can be substantial since the whole population is exposed. In addition there are also effects below current PM 10 standards since, so far, epidemiological studies have not been able to demonstrate a threshold. Due to the linear relationship that epidemiological analysis has provided, each 10 µg/m 3 increase results in the same increase in health effects, irrespective the levels. It needs to be mentioned that it is unrealistic to expect PM levels to be reduce to zero. PM is a complex mixture in which a part does not adversely affects our health. So, although there are many sources of PM 10 or PM 2.5 they are likely not all equally potent. Abatement strategies should however be directed toward the most toxic part of PM in order to ensure health benefits of reducing PM levels. It also appears that PM 10 and PM 2.5 are rather crude indicators for the health effects associated to the PM exposure. It is uncertain whether the health relevant PM fraction is reduced, although PM levels are gradually decreasing in mass. Therefore, new additional indicators such as measures for the oxidative capacity of PM, which are better for predicting health effects, are under study. At present it is not clear whether these can be used in a regulatory setting. Air pollution control measures are usually on a source basis whereas health effects are often related to component. Other uncertainties concern the effects of chronic low dose exposures. Next to the lungs also the cardiovascular system is affected due to PM exposure. Recently it was found that ultra-fine particles (< 0.1 µm) can likely reach the brain and may be associated with neurogenerative diseases such as Parkinson s and Alzheimer s disease. So for the health effects of PM not only components are important but also size matters. In addition the air pollution settings and history can play a role in the effects since synergy of effects can take place when for instance a person is exposed to both ozone and PM. Assessments The EU-Directive includes standards for the average annual PM 2.5 concentrations 25 µg/m 3 as a target value by 2010 and as limit value in 2015. Other more strict limits have been issued for average annual PM 2.5 concentrations: 15 µg/m 3 in the United States, 12 µg/m 3 in California and 10 µg/m 3 has been set by the World Health Organisation (WHO) as air quality guideline level. Next to the EU target value, an average exposure indicator is defined, to ensure that public exposure to PM 2.5 is further reduced. First analyses indicate that the current limit value for averaged daily PM 10 concentrations is stricter than the PM 2.5 limit value. The PM 10 limit value for averaged daily concentrations allows no more than 35 exceedances of 50 µg/m 3. This leads to the open question whether the attainment of the PM 2.5 air quality standards will lead to an improvement of the air quality compared to the situation that Member States comply with the PM 10 limit values which came into force in 2005. The available PM 2.5 measurements for Europe indicate that several EU countries will face more serious problems than the Netherlands in attaining the target and limit value of 25 μg/m 3 on time. In some Member States, measured PM 2.5 concentration levels are well above 30 μg/m 3. The European policies, which focus on reducing pollutant emissions from vehicle engines, will lead to lower PM 2.5 concentrations at all traffic locations, Europe wide. However, the trafficrelated contribution to PM 2.5 from non-exhaust emissions and re-suspension remains, and these components vary in magnitude throughout Europe. The limited amount of 8 Workshop measurements and modelling of PM2.5 in Europe

data on aspects such as local traffic prevents a Europe wide assessment on attainability in all Member States regarding the target and limit value of 25 μg/m 3. The assessment over Europe of the current population exposure to PM 2.5 can only be determined in a limited way, due to the currently small amount of PM 2.5 observations. Such an exposure study indicated that in a number of urban areas in Europe people are exposed to PM 2.5 concentrations higher than 25 µg/m 3. Exceedances appear to take place in the Po-valley and eastern European countries. Meeting the exposure concentration obligation by the 2015 deadline may be difficult for several Member States without measures that go beyond the European ambitions. Furthermore, it is unclear whether Member States will face problems meeting their national exposure reduction target value (ERT), for two reasons: The national ERT values of the individual countries are still unknown simply because they depend on future PM 2.5 concentration levels. The level of implementation of technical and non-technical reduction measures differs throughout Europe. When all Member States would meet the exposure reduction target in time it would be three times more effective in reducing the years of life lost than when the PM 2.5 limit values would be attained on the European scale. The variability of the PM 2.5 levels was estimated, Europe wide, which are inferred from PM 10 measurements reported to the EEA air quality database (AirBase). This approach takes advantage of the abundance of PM 10 measurements, the fact that PM 10 includes the fine fraction and the spatial statistics on the PM 2.5 to PM 10 ratio. For this purpose, PM 2.5 to PM 10 ratios were derived from a selected set of collocated AirBase measurements. The study showed that the average exposure indicator (AEI) was in eleven Member States in 2005 well above the obligation for 2015 irrespective of the calculation method. In three Member States, the AEI was, depending on the calculation method, just below or above the level of 20 μg/m 3. In the other twelve Member States, the AEI was estimated to be well below the binding limit value of 20 μg/m 3. The AEI estimate for the Netherlands was between 18 and 19 μg/m 3, which was in line with the observed urban background concentrations. Workshop measurements and modelling of PM2.5 in Europe 9

Appendix 1 Workshop programme Workshop Measurements and Modelling of PM 2.5 in Europe Bilthoven, The Netherlands 23-24 April 2009 Address: Antonie van Leeuwenhoeklaan 9, Room T007 Organizers: J. Matthijsen, Netherlands Environmental Assessment Agency (PBL) P.J.H. Builtjes, TNO Institute for Applied and Scientific Research Final Progamme Thursday 23 rd April 2009 12:30-13:00 : Registration 13:00 13:15 : Opening: Peter Builtjes Chairman: Jan Matthijsen 13:15-13:55 : Population Exposure To PM 2.5 At An European Level - Frank de Leeuw (EEA - European Topic Centre for Air Quality and Climate Change, The Netherlands Environmental Assessment Agency) 13:55 14:20 : The New Air Quality Directive 2008/50/EC Requirements Regarding Fine Particles PM 2.5 Andrej Kobe (European Commission, DG-Environment, Brussels) 14:20-15:00 : European Emissions of PM 2.5 and its precursors Hugo Denier van der Gon (TNO, The Netherlands) 15:00 15:30 Coffee/Tea Break (posters) 15:30 15:55 : Compilation of Spatially and Vertically Highly Resolved Emission Inventories For Germany - Jochen Thelocke (Universität Stuttgart, Germany) 15:55 16:35 : PM 2.5 Measurements in Europe - Annette Borowiak (Joint Research Centre, Italy) 16:35 17:15 : PM 2.5 Measurements and Source Apportionment - Roy Harrison (University of Birmingham, United Kingdom) 20:00 Workshop Diner Friday 24 th April 2009 09:00-09:15 Coffee/Tea Chairman: Peter Builtjes 09:15 09:55 : Health effects of particulate matter: facts and uncertainties - Flemming Cassee (National Institute of Public Health and the Environment, The Netherlands) 09:55 10:35 : PM 2.5 Speciation/ Source Apportionment Urs Baltensperger (Paul Scherrer Institut, Switserland) 10:35 11:00 : PM 2.5 High-Volume Measurements in East Germany a six year study at Melpitz site - Gerald Spindler (Leibniz-Institut für Troposphärenforschung, Germany) 11:00 11:25 : Real-time Measurements of PM 2.5 and PM 1 Chemical Position: Experience and Results from the UK Supersites and EMEP Intensive Measurements Periods - Eiko Nemitz (Centre for Ecology and Hydrology, United Kingdom) 11:25 Coffee/Tea Break (posters) 11:55 12:35 : PM 2.5 Modelling: Research and Policy Challenges - Laurence Rouïl (INERIS, France) 12:35 13:00 : Modeling PM 2.5 Concentrations for the UK and Projections to 2020 - Sally Cooke (AEA, United Kingdom) 13:00-13:25 : PM 2.5 Measurement results with the reference method and modeling for 2008 in The Netherlands - Ronald Hoogerbrugge (National Institute of Public Health and the Environment, The Netherlands) 13:30 Lunch 14:30 End 10 Workshop measurements and modelling of PM2.5 in Europe